Results 1 to 10 of about 62 (40)

Experimental Study on Surface Roughness and Flank Wear in Turning of Nimonic C263 under Dry Cutting Conditions [PDF]

Journal of Nanomaterials, 2021
Aircraft component manufacturing sector is looking for high precision machining in aircraft components. The present work explores the operability of green manufacturing of Nimonic C263 using dry turning. Nimonic C263 is tough to turn owing to its inherent quality like low conductivity and more work hardening.
J. Francis Xavier, B. Ravi, D. Jayabalakrishnan, Chakaravarthy Ezilarasan, V. Jayaseelan, G. Elias   +5 more
openaire   +2 more sources

A Machine Learning Approach to Optimize, Model, and Predict the Machining Factors in Dry Drilling of Nimonic C263

Advances in Materials Science and Engineering, 2022
In this present paper, the machine learning approach is used to optimize, model, and predict the factors during drilling Nimonic C263 under dry mode. Nimonic C263 is tough to machine aero alloys, and it is required to find a predictive model and to optimize the factors in drilling this alloy before the actual machining process.
S. Lakshmana Kumar, V. Jacintha, A. Mahendran, R. M. Bommi, M. Nagaraj, Umamahesawari Kandasamy   +5 more
openaire   +3 more sources

Surface Roughness Evaluation in Turning of Nimonic C263 Super Alloy Using 2D DWT Histogram Equalization

Journal of Nanomaterials, 2022
Surface roughness of specimens is an important area of research since it influences the performance of machined parts. Meanwhile, employing a vision system to judge the roughness of the machined surface of specimens via captured images acquired from the specimen is an innovative and extensively used method.
S. Lakshmana Kumar, M. Thenmozhi, R. M. Bommi, Chakaravarthy Ezilarasan, V. Sivaraman, Sivaprakasam Palani   +5 more
openaire   +2 more sources

Retracted: Experimental Study on Surface Roughness and Flank Wear in Turning of Nimonic C263 under Dry Cutting Conditions

Journal of Nanomaterials, 2023
Journal of Nanomaterials, Volume 2023, Issue 1, 2023.
Journal of Nanomaterials
openaire   +2 more sources

Modelling and Simulation of Machining Attributes in dry Turning of Aircraft Materials Nimonic C263 using CBN [PDF]

Manufacturing Review, 2021
In the current scenario, machinability of the super alloys is of greater importance in an aircraft turbine engine and land-based turbine applications owing to its superior properties. However, the machinability of these alloys is found to be poor owing to its inherent properties.
Sivaprakasam Palani, Jayaseelan Veerasundaram   +1 more
exaly   +3 more sources

Experimental analysis of process parameters in drilling nimonic C263 alloy under nano fluid mixed MQL environment [PDF]

Manufacturing Review, 2021
Nimonic C263 is a super alloy and it is difficult to cut. As this alloy possess high proportion of chromium, cobalt, and molybdenum, which fortify the material by solution hardening, which inhibits the dislocation movement, resulting in higher plastic deformation.
Chakaravarthy Ezilarasan, Meenaskshi Sundaram Nagaraj, A. John Presin Kumar, A. Velayudham, Rishab Betala   +4 more
exaly   +3 more sources

Application of MOORA & COPRAS integrated with entropy method for multi-criteria decision making in dry turning process of Nimonic C263

Manufacturing Review, 2022
This article presents an integrated multi-criteria decision making using Entropy, MOORA and COPRAS methods for turning Nimonic C263. Experiments were performed under L27 Taguchi orthogonal array. Dry turning was performed and cubic boron nitride (CBN) was used to turn the alloy. The variables speed, feed and depth of cut were chosen as factors.
Sivaprakasam Palani
exaly   +3 more sources

Optimizing the Electrical Discharge Machining Process Parameters of the Nimonic C263 Superalloy: A Sustainable Approach

Journal of Manufacturing and Materials Processing
Engineers continue to be concerned about electrical discharge-machined components’ high energy consumption, machining debris, and poor dimensional precision. The aim of this research is to propose a hybrid neuro-genetic approach to improve the machinability of the electrical discharge machining (EDM) of the Nimonic C263 superalloy.
Prashanth Konda Gokuldoss, Umakanta Mishra, Renu Shastri   +2 more
exaly   +3 more sources

Statistical Approach to Fiber Laser Microcutting of NIMONIC® C263 Superalloy Sheet Used in Effusion Cooling System of Aero Engines

Procedia CIRP, 2015
AbstractIn order to reduce thermal stress and avoid premature failure of turbine blades in the hot section of aero-engines, a diffusion cooling system is often adopted. This system is a thin sheet, with a closely spaced holes array allowing a uniform cooling of the turbine blade thanks to the evenly distributing of the cooling fluid within its wall ...
Flaviana Tagliaferri, Claudio Leone, Silvio Genna   +2 more
exaly   +6 more sources

[Retracted] Machine Learning Approach: Prediction of Surface Roughness in Dry Turning Inconel 625

Advances in Materials Science and Engineering, Volume 2022, Issue 1, 2022., 2022
Roughness is a prime parameter in any process/operation as it aids in confirming the quality status of the product. The insert and workpiece would develop a lot of friction and as a result, it generates heat in the cutting zone, which affects the machined surface. The speed, feed, and depth of cut were chosen as processing factors. L27 Orthogonal array
A. S. Rajesh, M. S. Prabhuswamy, M. Rudra Naik, K. Raja   +3 more
wiley   +1 more source